List: Approximate Nearest Neighbors | Curated by Marie Stephen Leo

May 30, 2022
39 stories
Approximate Nearest NeighborsStories from Medium about Approximate Nearest Neighbors
In
TDS Archive
by
Peggy Chang
Similarity Search with IVFPQFind out how the inverted file index (IVF) is implemented alongside product quantization (PQ) for a fast and efficient approximate nearest…
May 25, 2022
4
May 25, 2022
4
Romain Beaumont
Semantic search with embeddings: index anythingBuilding scalable semantic retrieval from image, text, graph, and interaction data
Dec 1, 2020
5
Dec 1, 2020
5
In
TDS Archive
by
Peggy Chang
Product Quantization for Similarity SearchHow to compress and fit a humongous set of vectors in memory for similarity search with asymmetric distance computation (ADC)
May 9, 2022
5
May 9, 2022
5
Dasith Edirisinghe
WeaviateAn Open Source Neural Search Engine
Apr 17, 2022
Apr 17, 2022
In
Pinterest Engineering Blog
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Pinterest Engineering
Manas HNSW Streaming FiltersTim Koh | Software Engineer, Core Product Serving Infra; George Wu | (former) Software Engineer, Core Product Serving Infra
May 5, 2022
May 5, 2022
In
Photomath Engineering
by
Vlado Galić
Similarity Search Engine for Millions of Math ProblemsFor all developers, business people, tech companies who are curious how to lower costs in tasks where the business process requires manual…
May 4, 2022
May 4, 2022
 This story is no longer available
In
TDS Archive
by
Thomas Wong
Easily get high-quality embeddings with SentenceTransformers!Introduction to the idea of vector representations and compare TF-IDF vectors with SentenceTransformers vectors!
Jan 21, 2022
Jan 21, 2022
In
GSI Technology
by
Pat Lasserre
How Neural Search is Being Used in ProductionNeural search (also commonly referred to as semantic search) is hot — it seems like almost every day I see a new article written about it…
Apr 11, 2022
Apr 11, 2022
In
HuggingFace
by
Thomas Wolf
📚The Current Best of Universal Word Embeddings and Sentence EmbeddingsWord & Sentence Embeddings have evolved really fast over the last few months - A brief primer on what happened
May 14, 2018
21
May 14, 2018
21
In
TDS Archive
by
James Briggs
Semantic Search: Measuring Meaning From Jaccard to BertSupercharge search with these stellar technologies
Jun 29, 2021
1
Jun 29, 2021
1
In
TDS Archive
by
Zichen Wang
Contrasting contrastive loss functionsA comprehensive guide to four contrastive loss functions for contrastive learning
May 23, 2020
4
May 23, 2020
4
In
TDS Archive
by
Brian Williams
Contrastive Loss ExplainedContrastive loss has been used recently in a number of papers showing state of the art results with unsupervised learning. MoCo, PIRL and…
Mar 3, 2020
12
Mar 3, 2020
12
In
Pinterest Engineering Blog
by
Pinterest Engineering
Unifying visual embeddings for visual search at PinterestAndrew Zhai | Pinterest Tech Lead, Visual Search
Aug 8, 2019
Aug 8, 2019
In
TDS Archive
by
Jay Patel
Digging Deeper into Metric Learning with Loss FunctionsAn introductory note on Metric Learning Loss functions.
Nov 12, 2019
2
Nov 12, 2019
2
In
Pinterest Engineering Blog
by
Pinterest Engineering
SearchSage: Learning Search Query Representations at PinterestNikil Pancha | Software Engineer; Andrew Zhai | Software Engineer; Chuck Rosenberg | Head of Advanced Technologies Group; and Jure Leskovec…
Nov 9, 2021
1
Nov 9, 2021
1
In
TDS Archive
by
Bob van Luijt
Semantic search through Wikipedia with Weaviate (GraphQL, Sentence-BERT, and BERT Q&A)An overview of how we created a semantic search engine for Wikipedia with Weaviate and Sentence-BERT
Nov 29, 2021
1
Nov 29, 2021
1
Deeptiforaiml
Similar Text Clustering with Knowledge GraphsEver wondered how knowledge graphs can help us to group unstructured data. The question of how to use knowledge graphs in machine learning…
Jul 16, 2021
1
Jul 16, 2021
1
In
Vector Database for AI
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Milvus
Building a Personalized Product Recommender System with Vipshop and MilvusMilvus makes it easy to provide the personalized recommendation service to users.
Sep 26, 2021
Sep 26, 2021
Rachit Singh
Semantic SimilaritySemantic similarity is an important aspect of Natural Language Processing and one of the fundamental problems for many NLP applications and…
Nov 1, 2021
1
Nov 1, 2021
1